2008 |
45 | EE | Amr Ahmed,
Kai Yu,
Wei Xu,
Yihong Gong,
Eric P. Xing:
Training Hierarchical Feed-Forward Visual Recognition Models Using Transfer Learning from Pseudo-Tasks.
ECCV (3) 2008: 69-82 |
44 | EE | Wei-Hao Lin,
Eric P. Xing,
Alexander G. Hauptmann:
A Joint Topic and Perspective Model for Ideological Discourse.
ECML/PKDD (2) 2008: 17-32 |
43 | EE | André F. T. Martins,
Dipanjan Das,
Noah A. Smith,
Eric P. Xing:
Stacking Dependency Parsers.
EMNLP 2008: 157-166 |
42 | EE | Jun Zhu,
Eric P. Xing,
Bo Zhang:
Laplace maximum margin Markov networks.
ICML 2008: 1256-1263 |
41 | EE | André F. T. Martins,
Mário A. T. Figueiredo,
Pedro M. Q. Aguiar,
Noah A. Smith,
Eric P. Xing:
Nonextensive entropic kernels.
ICML 2008: 640-647 |
40 | EE | Suyash Shringarpure,
Eric P. Xing:
mStruct: a new admixture model for inference of population structure in light of both genetic admixing and allele mutations.
ICML 2008: 952-959 |
39 | EE | Ramesh Nallapati,
Amr Ahmed,
Eric P. Xing,
William W. Cohen:
Joint latent topic models for text and citations.
KDD 2008: 542-550 |
38 | EE | Jun Zhu,
Eric P. Xing,
Bo Zhang:
Partially Observed Maximum Entropy Discrimination Markov Networks.
NIPS 2008: 1977-1984 |
37 | EE | Edoardo Airoldi,
David M. Blei,
Stephen E. Fienberg,
Eric P. Xing:
Mixed Membership Stochastic Blockmodels.
NIPS 2008: 33-40 |
36 | EE | Tien-ho Lin,
Pradipta Ray,
Geir Kjetil Sandve,
Selen Uguroglu,
Eric P. Xing:
BayCis: A Bayesian Hierarchical HMM for Cis-Regulatory Module Decoding in Metazoan Genomes.
RECOMB 2008: 66-81 |
35 | EE | Zhen Guo,
Zhongfei (Mark) Zhang,
Eric P. Xing,
Christos Faloutsos:
Semi-Supervised Learning Based on Semiparametric Regularization.
SDM 2008: 132-142 |
34 | EE | Amr Ahmed,
Eric P. Xing:
Dynamic Non-Parametric Mixture Models and the Recurrent Chinese Restaurant Process: with Applications to Evolutionary Clustering.
SDM 2008: 219-230 |
33 | EE | Hetunandan Kamisetty,
Eric P. Xing,
Christopher James Langmead:
Free Energy Estimates of All-Atom Protein Structures Using Generalized Belief Propagation.
Journal of Computational Biology 15(7): 755-766 (2008) |
32 | EE | Fan Guo,
Lei Li,
Christos Faloutsos,
Eric P. Xing:
C-DEM: a multi-modal query system for Drosophila Embryo databases.
PVLDB 1(2): 1508-1511 (2008) |
2007 |
31 | EE | Lie Gu,
Eric P. Xing,
Takeo Kanade:
Learning GMRF Structures for Spatial Priors.
CVPR 2007 |
30 | EE | Ramesh Nallapati,
Amr Ahmed,
William W. Cohen,
Eric P. Xing:
Sparse Word Graphs: A Scalable Algorithm for Capturing Word Correlations in Topic Models.
ICDM Workshops 2007: 343-348 |
29 | EE | Zhen Guo,
Zhongfei Zhang,
Eric P. Xing,
Christos Faloutsos:
A Max Margin Framework on Image Annotation and Multimodal Image Retrieval.
ICME 2007: 504-507 |
28 | EE | Fan Guo,
Steve Hanneke,
Wenjie Fu,
Eric P. Xing:
Recovering temporally rewiring networks: a model-based approach.
ICML 2007: 321-328 |
27 | EE | Lillian Y. Chang,
Nancy S. Pollard,
Tom M. Mitchell,
Eric P. Xing:
Feature selection for grasp recognition from optical markers.
IROS 2007: 2944-2950 |
26 | EE | Kyung-Ah Sohn,
Eric P. Xing:
Spectrum: joint bayesian inference of population structure and recombination events.
ISMB/ECCB (Supplement of Bioinformatics) 2007: 479-489 |
25 | EE | Zhen Guo,
Zhongfei Zhang,
Eric P. Xing,
Christos Faloutsos:
Enhanced max margin learning on multimodal data mining in a multimedia database.
KDD 2007: 340-349 |
24 | EE | Bing Zhao,
Eric P. Xing:
HM-BiTAM: Bilingual Topic Exploration, Word Alignment, and Translation.
NIPS 2007 |
23 | EE | Yanxin Shi,
Fan Guo,
Wei Wu,
Eric P. Xing:
GIMscan: A New Statistical Method for Analyzing Whole-Genome Array CGH Data.
RECOMB 2007: 151-165 |
22 | EE | Hetunandan Kamisetty,
Eric P. Xing,
Christopher James Langmead:
Free Energy Estimates of All-Atom Protein Structures Using Generalized Belief Propagation.
RECOMB 2007: 366-380 |
21 | EE | Jun Yang,
Yan Liu,
Eric P. Xing,
Alexander G. Hauptmann:
Harmonium Models for Semantic Video Representation and Classification.
SDM 2007 |
20 | EE | Eric P. Xing,
Michael I. Jordan,
Roded Sharan:
Bayesian Haplotype Inference via the Dirichlet Process.
Journal of Computational Biology 14(3): 267-284 (2007) |
2006 |
19 | EE | Bing Zhao,
Eric P. Xing:
BiTAM: Bilingual Topic AdMixture Models for Word Alignment.
ACL 2006 |
18 | EE | Eric P. Xing,
Kyung-Ah Sohn,
Michael I. Jordan,
Yee Whye Teh:
Bayesian multi-population haplotype inference via a hierarchical dirichlet process mixture.
ICML 2006: 1049-1056 |
17 | EE | Tien-ho Lin,
Eugene W. Myers,
Eric P. Xing:
Interpreting anonymous DNA samples from mass disasters - probabilistic forensic inference using genetic markers.
ISMB (Supplement of Bioinformatics) 2006: 298-306 |
16 | EE | Jia-Yu Pan,
André G. R. Balan,
Eric P. Xing,
Agma J. M. Traina,
Christos Faloutsos:
Automatic mining of fruit fly embryo images.
KDD 2006: 693-698 |
15 | EE | Kyung-Ah Sohn,
Eric P. Xing:
Hidden Markov Dirichlet Process: Modeling Genetic Recombination in Open Ancestral Space.
NIPS 2006: 1305-1312 |
2005 |
14 | EE | Yan Liu,
Eric P. Xing,
Jaime G. Carbonell:
Predicting protein folds with structural repeats using a chain graph model.
ICML 2005: 513-520 |
13 | EE | Fan Li,
Yiming Yang,
Eric P. Xing:
From Lasso regression to Feature vector machine.
NIPS 2005 |
12 | EE | Eric P. Xing,
Rong Yan,
Alexander G. Hauptmann:
Mining Associated Text and Images with Dual-Wing Harmoniums.
UAI 2005: 633-641 |
11 | EE | Wei Wu,
Eric P. Xing,
Connie Myers,
I. Saira Mian,
Mina J. Bissell:
Evaluation of normalization methods for cDNA microarray data by k-NN classification.
BMC Bioinformatics 6: 191 (2005) |
10 | EE | Wei Wu,
Nilesh Dave,
George C. Tseng,
Thomas Richards,
Eric P. Xing,
Naftali Kaminski:
Comparison of normalization methods for CodeLink Bioarray data.
BMC Bioinformatics 6: 309 (2005) |
2004 |
9 | EE | Eric P. Xing,
Roded Sharan,
Michael I. Jordan:
Bayesian haplo-type inference via the dirichlet process.
ICML 2004 |
8 | EE | Eric P. Xing,
Michael I. Jordan:
Graph Partition Strategies for Generalized Mean Field Inference.
UAI 2004: 602-610 |
7 | EE | Eric P. Xing,
Wei Wu,
Michael I. Jordan,
Richard M. Karp:
Logos: a Modular Bayesian Model for de Novo Motif Detection.
J. Bioinformatics and Computational Biology 2(1): 127-154 (2004) |
2003 |
6 | EE | Eric P. Xing,
Wei Wu,
Michael I. Jordan,
Richard M. Karp:
LOGOS: a modular Bayesian model for de novo motif detection.
CSB 2003: 266-276 |
5 | | Eric P. Xing,
Michael I. Jordan,
Stuart J. Russell:
A generalized mean field algorithm for variational inference in exponential families.
UAI 2003: 583-591 |
2002 |
4 | EE | Eric P. Xing,
Michael I. Jordan,
Richard M. Karp,
Stuart J. Russell:
A Hierarchical Bayesian Markovian Model for Motifs in Biopolymer Sequences.
NIPS 2002: 1489-1496 |
3 | EE | Eric P. Xing,
Andrew Y. Ng,
Michael I. Jordan,
Stuart J. Russell:
Distance Metric Learning with Application to Clustering with Side-Information.
NIPS 2002: 505-512 |
2001 |
2 | | Eric P. Xing,
Michael I. Jordan,
Richard M. Karp:
Feature selection for high-dimensional genomic microarray data.
ICML 2001: 601-608 |
1 | | Eric P. Xing,
Richard M. Karp:
CLIFF: clustering of high-dimensional microarray data via iterative feature filtering using normalized cuts.
ISMB (Supplement of Bioinformatics) 2001: 306-315 |